Applied Scientist III, Global Logistics, Applied Science

Applied Scientist III, Global Logistics, Applied Science

Transform global logistics by developing innovative technological solutions that optimize complex international shipping networks. Join a dynamic team where your advanced scientific expertise will directly impact millions of packages moving across borders, solving intricate transportation challenges through groundbreaking applied science.

• Develop advanced deep learning and generative AI applications for sophisticated product classification systems.
• Lead complex modeling analyses to support strategic business decision‑making and policy development.
• Partner with engineering and operations teams to design transformative machine learning solutions for transportation challenges.
• Design and document technical strategies and applied science roadmaps.
• Innovate and provide technological direction in international imports and exports logistics.

Your workday will be an exciting blend of data exploration, innovative problem‑solving, and collaborative technology development. You’ll dive into complex datasets, design sophisticated machine learning models, engage with cross‑functional teams, and create technological solutions that reshape international shipping capabilities.

We are a passionate group of scientists and engineers dedicated to building comprehensive transportation technologies. Our mission is to create highly scalable, intelligent systems that enable seamless international package movement. By pushing technological boundaries, we’re reimagining global logistics through innovative applied science.

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

• PhD, or Master’s degree and 6+ years of applied research experience.
• 3+ years of building machine learning models for business application experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

• Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, Tensorflow, Num Py, Sci Py, etc.
• Experience with large‑scale distributed systems such as Hadoop, Spark, etc.
• We value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit (Use the "Apply for this Job" box below). for more information.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company.

Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job : A3125834